dnn: add the CANN backend (#22634)

* cann backend impl v1

* cann backend impl v2: use opencv parsers to build models for cann

* adjust fc according to the new transA and transB

* put cann net in cann backend node and reuse forwardLayer

* use fork() to create a child process and compile cann model

* remove legacy code

* remove debug code

* fall bcak to CPU backend if there is one layer not supoorted by CANN backend

* fix netInput forward

modules/dnn/test/test_common.hpp

@@ -49,6 +49,7 @@
 #define CV_TEST_TAG_DNN_SKIP_PARSER              "dnn_skip_parser"
 
 #define CV_TEST_TAG_DNN_SKIP_TIMVX               "dnn_skip_timvx"
+#define CV_TEST_TAG_DNN_SKIP_CANN                "dnn_skip_cann"
 
 #ifdef HAVE_INF_ENGINE
 #if INF_ENGINE_VER_MAJOR_EQ(2018050000)
@@ -139,7 +140,8 @@ testing::internal::ParamGenerator< tuple<Backend, Target> > dnnBackendsAndTarget
         bool withVkCom = true,
         bool withCUDA = true,
         bool withNgraph = true,
-        bool withWebnn = true
+        bool withWebnn = true,
+        bool withCann = true
 );
 
 testing::internal::ParamGenerator< tuple<Backend, Target> > dnnBackendsAndTargetsIE();